Fine Grained Recognition Collection

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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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“This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).”

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

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“[ICLR'24] Democratizing Fine-grained Visual Recognition with Large Language Models”

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“SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)”

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“TF-Implementation of "Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition"”

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💻Normal

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“CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission”