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ECCV 2026 - RefracGS
[ECCV 2026] OSVE: One Step Video Editing with One Step Diffusion Models
[ECCV 2026] IRIS: A Real-World Benchmark for Inverse Recovery and Identification of Physical Systems
[ECCV 2026] Online Versatile Incremental Learning: Class and Domain-Agnostic Adaptation at Any Time
ECCV 2026 OmniSch
[ECCV 2026] ATOMIC: A Domain-Specific Vision-Language Model for Transmission Electron Microscopy
[ECCV 2026] Real-Time Interactive Multi-Target Video Segmentation
ECCV 2026: Learning Shared-Specific Representations for Cross-Spectral Image Generation
[ECCV 2026] SPLIT: Training-Free AI-Generated and Partially Edited Video Detection
EventSpecPS ECCV Video
[ECCV 2026] Towards Purified Multi-Label Test-Time Adaptation of Vision-Language Models
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Last Updated: September 25, 2026
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Summary
Presentation for the paper: Kai Wittenmayer, Sukrut Rao, Amin Parchami-Araghi, Bernt Schiele, Jonas Fischer. OmniSch: A Multimodal PCB Schematic Benchmark For Structured Diagram Visual Reasoning. SAM-MT is an efficient interactive multi-target