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A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Internvideo ⭐ 736

InternVideo: General Video Foundation Models via Generative and Discriminative Learning (https://arxiv.org/abs/2212.03191)

Openshape_code ⭐ 174

official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”

Scaling Laws Openclip ⭐ 112

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".

Deep Representations Of Visual Descriptions ⭐ 9

Pytorch implementation of CVPR'16 paper "Learning Deep Representations of Fine-Grained Visual Descriptions", by Reed et al.

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