Fine Grained Classification Collection

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“New generation of CLIP with strong fine grained discrimination capability, ICML2026 and ICML2025”

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“Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019”

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“Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger”

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“This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).”

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“Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)”

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“This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).”

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“Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现”

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“A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes””

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“Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)”

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“Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018”

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“PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)”

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“Vehicle Make and Model Recognition Dataset (VMMRdb)”

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“[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning”

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“CricShot10 is a video action recognition dataset consisting of 10 cricket batting shots. This dataset was developed using the videos from YouTube.”

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“Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)”

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“A generic triplet data loader for image classification problems,and a triplet loss net demo.”

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“ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021”

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“Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022] ”