valerystrizh / pytorch-histogram-lossView external linksLinks
PyTorch implementation for Histogram Loss
☆193Apr 2, 2019Updated 6 years ago
Alternatives and similar repositories for pytorch-histogram-loss
Users that are interested in pytorch-histogram-loss are comparing it to the libraries listed below
Sorting:
- This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)☆98Nov 8, 2017Updated 8 years ago
- Deep metric learning methods implemented in Chainer☆158Jul 12, 2018Updated 7 years ago
- (ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliar…☆63Jun 12, 2020Updated 5 years ago
- A fast implementation of the histogram loss in pytorch☆15Jan 29, 2019Updated 7 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`☆184May 18, 2020Updated 5 years ago
- Deep Metric Learning☆781Aug 10, 2020Updated 5 years ago
- Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.☆150Apr 3, 2020Updated 5 years ago
- This repo contains code for *Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications*.☆11May 3, 2018Updated 7 years ago
- PyTorch Implementation for Deep Metric Learning Pipelines☆576Jun 17, 2020Updated 5 years ago
- WIP☆21Jul 9, 2017Updated 8 years ago
- Just some experiments on GANs hallucinating data samples for an incremental learner.☆18Jul 17, 2017Updated 8 years ago
- PyTorch implementation of Deformable Convolution☆411Feb 17, 2019Updated 7 years ago
- PyTorch implementation of CASENet☆40Jun 4, 2018Updated 7 years ago
- Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.☆84Mar 25, 2023Updated 2 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆219Feb 14, 2024Updated 2 years ago
- Safitty is a wrapper on JSON/YAML configs for Python☆30Mar 19, 2020Updated 5 years ago
- i-RevNet Pytorch Code☆396Feb 16, 2021Updated 5 years ago
- [wip] Implementation of found architecture in Auto Deeplab☆30Jan 28, 2019Updated 7 years ago
- ☆16Jun 18, 2025Updated 7 months ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆164Sep 16, 2021Updated 4 years ago
- Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019☆265Oct 24, 2019Updated 6 years ago
- Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018☆866Mar 13, 2020Updated 5 years ago
- A pytorch pretrained model of MnasNet☆21Dec 3, 2019Updated 6 years ago
- Scene Parsing with Global Context Embedding, ICCV 2017☆22Feb 28, 2018Updated 7 years ago
- "SCNet: Learning Semantic Correspondence" by Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean P…☆33Apr 25, 2019Updated 6 years ago
- Self-supervised Learning for Video Correspondence Flow (BMVC 2019)☆268Sep 15, 2019Updated 6 years ago
- Code for CVPR2019 paper《Unequal Training for Deep Face Recognition with Long Tailed Noisy Data》☆69Jun 24, 2019Updated 6 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paper☆510Jan 20, 2020Updated 6 years ago
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆114Jan 16, 2018Updated 8 years ago
- Channel Equilibrium Networks for Learning Deep Representation, ICML2020☆22Jul 28, 2020Updated 5 years ago
- A PyTorch implementation of center loss on MNIST☆357Oct 5, 2018Updated 7 years ago
- PyTorch implementation of Deformable Convolution☆911Jul 21, 2021Updated 4 years ago
- Code for the Lovász-Softmax loss (CVPR 2018)☆1,409Apr 12, 2024Updated last year
- Implementation for "Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation"☆59May 14, 2019Updated 6 years ago
- Visualize videos, groundtruth annotations, and predictions☆18Oct 17, 2022Updated 3 years ago
- PyTorch implementation of AdaCos☆211Nov 19, 2020Updated 5 years ago
- Source code for paper "Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration" of NeurIPS 2019☆10Jan 25, 2024Updated 2 years ago
- using pvanet framework train mobilenet-v2 for objects detection, papaer: https://arxiv.org/abs/1611.08588☆13Feb 13, 2019Updated 7 years ago
- A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).☆282Jul 25, 2024Updated last year