14 skills found
Confusezius / Revisiting Deep Metric Learning PyTorch(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.
lvyilin / Pytorch Fgvc DatasetPyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
clovaai / Embedding ExpansionOfficial MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)
clovaai / Symmetrical SynthesisOfficial Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)
Confusezius / CVPR2020 PADS(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.
MLforHealth / S2SD(ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv.org/abs/2009.08348
AsafShul / PoDDOfficial PyTorch Implementation for the "Distilling Datasets Into Less Than One Image" paper.
Confusezius / ECCV2020 DiVA MultiFeature DML(ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.13458), which extends vanilla DML with auxiliary and self-supervised features.
batmanlab / ICML 2023 Route Interpret Repeat[ICML 2023] Official repository of paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
Confusezius / Characterizing Generalization In DeepMetricLearningImplementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
yashashwita20 / Text To Image Using GANThis is a PyTorch-based implementation of the Generative Adversarial Text-to-Image Synthesis paper, utilizing a GAN architecture inspired by DCGAN with text descriptions as inputs to generate images.
sutd-visual-computing-group / LS KD Compatibility[ICML 2022] This work investigates the compatibility between label smoothing (LS) and knowledge distillation (KD). We suggest to use an LS-trained teacher with a low-temperature transfer to render high performance students.
abonte / ProtopdebugImplementation of Concept-level Debugging of Part-Prototype Networks
BassyKuo / CUB200 2011The collection of 80*80-pixels bird-images from cub200-2011 dataset.
