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[NeurIPS 2022] Learning to Discover and Detect Objects (Vlad Fomenko) View | |
Associating Objects and Their Effects in Video Through Coordination Games (NeurIPS 2022) (Erika Lu) View | |
NeurIPS 2022 - VisFIS: Visual Feature Importance Supervision with Right-for-Right-Reason Objectives (Peter Hase) View | |
Demo: 3DB: A Framework for Debugging Computer Vision Models (Microsoft Research) View | |
[NeurIPS 2022] Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual (eslam bakr) View | |
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking (NeurIPS 2022) (Dynamic Vision and Learning Group) View | |
NeurIPS 2022: Posterior and Computational Uncertainty in Gaussian Processes (Tübingen Machine Learning) View | |
Unlocking Slot Attention by Changing Optimal Transport Costs (All Things Attention Workshop @ NeurIPS 2022) View | |
Object Representations as Fixed Points (RAIL) View | |
Self-Supervised Learning for Object Detection (Lightning AI) View |