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๐ŸŽฏ Object Detection

๐ŸŽž๏ธ ECCV2026 ยท 2 paper notes

๐Ÿ“Œ Same area in other venues: ๐Ÿ“ท CVPR2026 (99) ยท ๐Ÿ”ฌ ICLR2026 (31) ยท ๐Ÿงช ICML2026 (6) ยท ๐Ÿค– AAAI2026 (29) ยท ๐Ÿง  NeurIPS2025 (27) ยท ๐Ÿ“น ICCV2025 (28)

A Simple Baseline with Placement Prior for Point-Supervised Oriented Object Detection

PlacePriorBase combines neighborhood angle alignment, image-level size regularity, and training-free watershed box targets to build an inexpensive point-supervised detector, while its transferable losses improve stronger detectors without making the lightweight baseline itself the most accurate model.

Back-Tracking from Clarity: Self-Learning to See Text from Afar

The method propagates reliable detections of clear text backward into earlier, degraded video frames, combining point tracking with carrier geometry to train an unchanged single-frame student; its SceneText50 tracking AUC reaches 44.71 versus 38.65 for CoTracker3.