Papers
What do neural networks learn in image classification? A frequency shortcut perspective
Shunxin Wang, Raymond Veldhuis, Christoph Brune et al.
When Do Curricula Work in Federated Learning?
Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek et al.
When Epipolar Constraint Meets Non-Local Operators in Multi-View Stereo
Tianqi Liu, Xinyi Ye, Weiyue Zhao et al.
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method
Manyi Zhang, Xuyang Zhao, Jun Yao et al.
When Prompt-based Incremental Learning Does Not Meet Strong Pretraining
Yu-Ming Tang, Yi-Xing Peng, Wei-Shi Zheng
When to Learn What: Model-Adaptive Data Augmentation Curriculum
Chengkai Hou, Jieyu Zhang, Tianyi Zhou
Who Are You Referring To? Coreference Resolution In Image Narrations
Arushi Goel, Basura Fernando, Frank Keller et al.
Why do networks have inhibitory/negative connections?
Qingyang Wang, Mike A. Powell, Ali Geisa et al.
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?
Cheng-En Wu, Yu Tian, Haichao Yu et al.
Will Large-scale Generative Models Corrupt Future Datasets?
Ryuichiro Hataya, Han Bao, Hiromi Arai
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
Guoxuan Xia, Christos-Savvas Bouganis
With a Little Help from Your Own Past: Prototypical Memory Networks for Image Captioning
Manuele Barraco, Sara Sarto, Marcella Cornia et al.
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization
Rui Chen, Qiyu Wan, Pavana Prakash et al.
XiNet: Efficient Neural Networks for tinyML
Alberto Ancilotto, Francesco Paissan, Elisabetta Farella
XMem++: Production-level Video Segmentation From Few Annotated Frames
Maksym Bekuzarov, Ariana Bermudez, Joon-Young Lee et al.
X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance
Yiwei Ma, Xiaoqing Zhang, Xiaoshuai Sun et al.
XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images
Yanfeng Zhou, Jiaxing Huang, Chenlong Wang et al.
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
Bo Dai, Linge Wang, Baoxiong Jia et al.
XVO: Generalized Visual Odometry via Cross-Modal Self-Training
Lei Lai, Zhongkai Shangguan, Jimuyang Zhang et al.
Yes, we CANN: Constrained Approximate Nearest Neighbors for Local Feature-Based Visual Localization
Dror Aiger, Andre Araujo, Simon Lynen
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
Nermin Samet, Oriane Siméoni, Gilles Puy et al.
Your Diffusion Model is Secretly a Zero-Shot Classifier
Alexander C. Li, Mihir Prabhudesai, Shivam Duggal et al.
Zenseact Open Dataset: A Large-Scale and Diverse Multimodal Dataset for Autonomous Driving
Mina Alibeigi, William Ljungbergh, Adam Tonderski et al.
Zero-1-to-3: Zero-shot One Image to 3D Object
Ruoshi Liu, Rundi Wu, Basile Van Hoorick et al.
Zero-guidance Segmentation Using Zero Segment Labels
Pitchaporn Rewatbowornwong, Nattanat Chatthee, Ekapol Chuangsuwanich et al.