Good Papers

Showing Vision backbones Show all papers

74%Highly rated
?Highly ratedVote to see the score
arXivVision backbones

VisionHOPE: Visual Backbones as Self-Modifying Learning Systems

VisionHOPE formulates visual backbones as self-modifying learning systems with coupled co-evolving memories and proves stable non-expansive dynamics, achieving competitive results on ImageNet-1K, COCO, and ADE20K.

Siran Peng, Tianshuo Zhang, Tianyu Fu, Weisong Zhao and 7 more

Published Sep 27, 2026 · 0 citations · ▲ 323 on Hugging Face · Code ★ 880

– ReadersNo votes yet
9/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 9 of 20 reviewers recommend it
lenient 2/5
medium 7/10
strict 0/5
86%Must read
?Must readVote to see the score
arXivVision backbones

GTR: Gated Token Recurrence for Efficient Dense Prediction

GTR replaces softmax attention with gated token recurrence for efficient high-resolution dense prediction, achieving 58.9 COCO box AP with low latency.

Zhe Feng, Longfei Liu, Wei Liu, Kai Chen and 6 more

Published Sep 22, 2026 · 0 citations · ▲ 12 on Hugging Face · Code ★ 50

– ReadersNo votes yet
14/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5
91%Must read
?Must readVote to see the score
ICCV 2021U Science and Technology of ChinMicrosoft Research AsiaXi'an JiaotongTsinghuaVision backbones

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Swin Transformer is a hierarchical vision transformer using shifted windows for efficient local self-attention and linear image complexity, achieving state-of-the-art results on ImageNet, COCO, and ADE20K.

Ze Liu, Yutong Lin, Yue Cao, Han Hu and 4 more

Published Oct 1, 2021 · 33,075 citations

– ReadersNo votes yet. 1 from authors or colleagues not counted
18/21 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 18 of 21 reviewers recommend it
lenient 5/5
medium 10/11
strict 3/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Kioxia CorporationVision backbones

Training Vision Transformers to Focus: Emergence of Attention Head Specialization

Yuji Nozawa, Yu-Chieh Lin, Youyang Ng

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Indian Institute of Science, IndPesIndian Institute of ScienceVision backbones

Lost in the Slots: Revisiting Object-Centric Representations in the era of Foundation Models

Priyam Dey, Aditya Sahdev, Omkar M Kashyap, Venkatesh Babu Radhakrishnan

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026LTCI, Télécom Paris, Institut PoMaLGa-DIBRIS, University of GenoVision backbones

SOLA: A Structured Operator Library for Attention in Pretrained Vision Transformers

Enzo Tartaglione, Vito Paolo Pastore

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026KAUST / CMUKAUSTKing Abdullah University of ScieVision backbones

OrbitLoRA: Learning Rotation-Aware Low-Data Adaptation of Vision Foundation Models

Yunlu Chen, Dominik Engel, Peter Wonka, Ivan Viola

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Beijing University of Post and TTsinghuaThe Hong Kong University of ScieBeijing University of Posts and Vision backbones

Patch4Patch: Restoring Structural Connectivity in Patch-based Vision Encoders

Yaqi Zhang, Shuntian Yao, Niantai Qu, Runguo Chen and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026TsinghuaDepartment of C.S., TsinghuaVision backbones

SpRePE: A Spherical Geometry-Aware Position Embedding scheme for Vision Transformers

Qilong Jia, Yi Xiao, Wei Xue

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Seoul National University of SciSeoul National University of SciVision backbones

COHE: Auditing Non-Transitivity in Sample Difficulty Proxies for Vision Models

Dayena Jeong, Sunglok Choi

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 1/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Max Planck Institute of BiochemiDepartment of Machine Learning aMPI of BiochemistryHKUST-GZETH ZurichVision backbones

Channel Mixer: A Pretrainable Tokenizer for Scalable Multi-Channel Vision Transformers

Lukas Miklautz, Lucas Miranda, Nikola Bulat, Armin Lambacher and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026UC BerkeleyStony BrookU California, BerkeleyVision backbones

Prototypes of the Mind: A Unified Framework for Probing the Visual Brain

Shi Chen, Seoyoung Ahn, Doris Tsao

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026The Hong Kong University of ScieCSE, HKUSTVision backbones

Virtual Task Prompting for Multi-Task Scene Understanding

Zedong WANG, Yucheng Wang, Dan Xu

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Ewha WomansVision backbones

Disentangling Channel Semantics in Vision Transformers via Token Decorrelation and Composition-Aware Modulation

Daeun Kim, Hyejin Park, Hyesong Choi, Dongbo Min

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Oak Ridge National LaboratoryUMNVision backbones

Evaluating Deployable Inference-Time Error Prediction in Vision MoEs

Aristeidis Tsaris, JangHyeon Lee, Abhishek Potnis, Philipe Dias and 4 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026ShanxiShanxi universityU ManchesterVision backbones

C-LoRA: Continual Low-Rank Adaptation for Pre-trained Visual Models

Xin Zhang, Liang Bai, Xian Yang

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026TsinghuaShanghaiXi’an JiaotongTsinghua University, TsinghuaXi'an JiaotongVision backbones

Vision Correlators: Correlation-Driven Visual Understanding with Hypergraphs

Mengqi Lei, Guohuan Xie, Siqi Li, Shihui Ying and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Carnegie MellonWashington University in St. LouVision backbones

SLVR: Structured Latent Visual Reasoning via Human-like Reasoning Flows

Albert Gao, Bing Xue, Andrea Zanette

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Los Alamos National LaboratoryMax Planck Institute, Max-PlanckVision backbones

On Making $SE(2)$-Invariant Networks Optimal

Tomas Karella, Emily Shinkle, Alice Allen, Pieter J Swart and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026U Missouri - ColumbiaU MissouriVision backbones

RoSeViT: Role-Separated Vision Transformers for ARC Visual Reasoning

Zhiguang Liu, Yi Shang

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
Show 20 more papers