cvjena / part_constellation_models
Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."
☆47Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for part_constellation_models
- Weakly Supervised Object Localization with Progressive Domain Adaptation (CVPR 2016)☆62Updated 8 years ago
- Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.☆49Updated 6 years ago
- Learning Detection with Diverse Proposals at CVPR 2017☆31Updated 7 years ago
- Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization☆62Updated 5 years ago
- source code for the paper "Hard-Aware-Deeply-Cascaed-Embedding"☆32Updated 7 years ago
- Active Convolution☆60Updated 7 years ago
- this is the code release for ''Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition''☆43Updated 6 years ago
- Pre-trained models for MixDCNN paper☆37Updated 6 years ago
- BNF Globalization Code (CVPR 2016)☆24Updated 8 years ago
- ☆21Updated 9 years ago
- The codebase for Zoom Out-and-In Network with Recursive Training for Object Proposal☆22Updated 6 years ago
- FBN: Factorized Bilinear Models for Image Recognition (ICCV 2017)☆69Updated 6 years ago
- Implementation of Excitation Backprop in Caffe☆109Updated 7 years ago
- Object detection using AZ-Net☆44Updated 7 years ago
- Pytorch code for spatial transformer network with mask☆31Updated 6 years ago
- Repository for Neural Tensor Fusion Network☆20Updated 7 years ago
- Improving Object Detection from Scratch via Gated Feature Reuse (BMVC 2019)☆65Updated 4 years ago
- Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree☆27Updated 8 years ago
- Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"☆97Updated 7 years ago
- Codes and pretrained model for ECCV 14 paper 'Part based RCNNs for fine-grained category detection'☆58Updated 9 years ago
- This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)☆95Updated 7 years ago
- ☆42Updated 8 years ago
- Focal loss for Dense Object Detection☆34Updated 7 years ago
- FeatureLearning-ECCV2016☆17Updated 6 years ago
- a branc caffe with feature of Data Augmentation using a configurable stochastic combination of 7 data augmentation techniques.☆32Updated 9 years ago
- LeaderBoard for various CBIR models☆24Updated 6 years ago
- ☆33Updated 7 years ago
- Tensorflow implementation of DeepLabv2☆22Updated 7 years ago