SS3D pretrains an end-to-end feed-forward 3D estimator on filtered YouTube-8M videos via SfM self-supervision, MVS filtering, and expert distillation, delivering stronger zero-shot transfer and fine-tuning than prior self-supervised baselines.
In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition
2 Pith papers cite this work. Polarity classification is still indexing.
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DepthPolyp is a compact model using pseudo-depth multi-task learning and efficient feature modules that delivers strong generalization and real-time performance for polyp segmentation in noisy colonoscopy data.
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SS3D: End2End Self-Supervised 3D from Web Videos
SS3D pretrains an end-to-end feed-forward 3D estimator on filtered YouTube-8M videos via SfM self-supervision, MVS filtering, and expert distillation, delivering stronger zero-shot transfer and fine-tuning than prior self-supervised baselines.
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DepthPolyp: Pseudo-Depth Guided Lightweight Segmentation for Real-Time Colonoscopy
DepthPolyp is a compact model using pseudo-depth multi-task learning and efficient feature modules that delivers strong generalization and real-time performance for polyp segmentation in noisy colonoscopy data.