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Poster
Wed 1:00 Explainable Deep One-Class Classification
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
Poster
Wed 9:00 Provably robust classification of adversarial examples with detection
Fatemeh Sheikholeslami · Ali Lotfi · Zico Kolter
Oral
Wed 19:55 Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai
Poster
Mon 9:00 Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu · Milan Mosse · Chengxu Zhuang · Daniel Yamins · Noah Goodman
Poster
Mon 1:00 Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors
Linfeng Zhang · Kaisheng Ma
Poster
Wed 1:00 Negative Data Augmentation
Abhishek Sinha · Kumar Ayush · Jiaming Song · Burak Uzkent · Hongxia Jin · Stefano Ermon
Poster
Wed 1:00 Differentiable Segmentation of Sequences
Erik Scharw├Ąchter · Jonathan Lennartz · Emmanuel M├╝ller
Poster
Wed 17:00 PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
wu xiongwei · Doyen Sahoo · Steven HOI
Poster
Mon 17:00 Robust Curriculum Learning: from clean label detection to noisy label self-correction
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
Poster
Thu 1:00 Deformable DETR: Deformable Transformers for End-to-End Object Detection
Xizhou Zhu · Weijie Su · Lewei Lu · Bin Li · Xiaogang Wang · Jifeng Dai
Workshop
Detecting Adversarial Attacks through Neural Activations
Graham Annett
Poster
Tue 9:00 Systematic generalisation with group invariant predictions
Faruk Ahmed · Yoshua Bengio · Harm van Seijen · Aaron Courville