Computer Vision and Pattern Recognition · Computer Science
Object Detection with Transformers: A Review
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
2023-07-13
Computer Vision and Pattern Recognition · Computer Science
LAPFormer: A Light and Accurate Polyp Segmentation Transformer
Mai Nguyen, Tung Thanh Bui, Quan Van Nguyen, Thanh Tung Nguyen +1
2022-10-11
Computer Vision and Pattern Recognition · Computer Science
Contrastive Learning for Multi-Object Tracking with Transformers
Pierre-François De Plaen, Nicola Marinello, Marc Proesmans, Tinne Tuytelaars +1
2025-05-16
Image and Video Processing · Electrical Eng. & Systems
RTA-Former: Reverse Transformer Attention for Polyp Segmentation
Zhikai Li, Murong Yi, Ali Uneri, Sihan Niu +1
2024-12-24
Computer Vision and Pattern Recognition · Computer Science
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation
Nguyen Thanh Duc, Nguyen Thi Oanh, Nguyen Thi Thuy, Tran Minh Triet +1
2022-06-08
Image and Video Processing · Electrical Eng. & Systems
Exploration of Various Deep Learning Models for Increased Accuracy in Automatic Polyp Detection
Ariel E. Isidro, Arnel C. Fajardo, Alexander A. Hernandez
2022-03-09
Computer Vision and Pattern Recognition · Computer Science
PnP-DETR: Towards Efficient Visual Analysis with Transformers
Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng +1
2022-03-03
Computer Vision and Pattern Recognition · Computer Science
Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8
Fabian Vazquez, Jose Angel Nuñez, Xiaoyan Fu, Pengfei Gu +1
2025-02-04
Computer Vision and Pattern Recognition · Computer Science
End-to-End Object Detection with Transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier +2
2020-05-29
Image and Video Processing · Electrical Eng. & Systems
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing
Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Ulas Bagci
2023-03-15
Computer Vision and Pattern Recognition · Computer Science
Transformers for Object Detection in Large Point Clouds
Felicia Ruppel, Florian Faion, Claudius Gläser, Klaus Dietmayer
2022-10-03
Computer Vision and Pattern Recognition · Computer Science
Dense Transformer Networks
Jun Li, Yongjun Chen, Lei Cai, Ian Davidson +1
2017-06-09
Machine Learning · Computer Science
How Transformers Learn to Plan via Multi-Token Prediction
Jianhao Huang, Zhanpeng Zhou, Renqiu Xia, Baharan Mirzasoleiman +2
2026-04-15
Machine Learning · Computer Science
Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task
Alicia Curth, Rachel Lawrence, Sushrut Karmalkar, Niranjani Prasad
2026-04-15
Machine Learning · Computer Science
RealFormer: Transformer Likes Residual Attention
Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie
2021-09-14
Computer Vision and Pattern Recognition · Computer Science
Defect Transformer: An Efficient Hybrid Transformer Architecture for Surface Defect Detection
Junpu Wang, Guili Xu, Fuju Yan, Jinjin Wang +1
2022-07-19
Computer Vision and Pattern Recognition · Computer Science
Efficient Joint Detection and Multiple Object Tracking with Spatially Aware Transformer
Siddharth Sagar Nijhawan, Leo Hoshikawa, Atsushi Irie, Masakazu Yoshimura +2
2022-11-11
Machine Learning · Computer Science
Trust, but Verify: Peeling Low-Bit Transformer Networks for Training Monitoring
Arian Eamaz, Farhang Yeganegi, Mojtaba Soltanalian
2026-05-05
Computer Vision and Pattern Recognition · Computer Science
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions
Teng Fu, Xiaocong Wang, Haiyang Yu, Ke Niu +2
2023-09-12