Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

Last update: Jun 29, 2022

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Overview

Weakly_detector

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba Learning Deep Features for Discriminative Localization. Computer Vision and Pattern Recognition (CVPR), 2016. [PDF][Project Page]

Results of Caltech256 Dataset

Results of Action40 Dataset

Object localization using only image-level annotation, without bounding box annotation.

If you want to train the model using custom dataset, you need the pretrained VGG Network weights [VGG], which is used in [code].

Owner

Taeksoo Kim

GitHub Repository

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Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

Related tags

Overview

Weakly_detector

Results of Caltech256 Dataset

Results of Action40 Dataset

Owner

Taeksoo Kim

KAPAO is an efficient multi-person human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

Unofficial PyTorch Implementation of Multi-Singer

A best practice for tensorflow project template architecture.

DC3: A Learning Method for Optimization with Hard Constraints

Video Frame Interpolation with Transformer (CVPR2022)

Code for "Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis

CL-Gym: Full-Featured PyTorch Library for Continual Learning

Any-to-any voice conversion using synthetic specific-speaker speeches as intermedium features

CLADE - Efficient Semantic Image Synthesis via Class-Adaptive Normalization (TPAMI 2021)

Unofficial implementation of PatchCore anomaly detection

Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control.

An imperfect information game is a type of game with asymmetric information

Facebook AI Image Similarity Challenge: Descriptor Track

QT Py Media Knob using rotary encoder & neopixel ring

Code for "Steerable Pyramid Transform Enables Robust Left Ventricle Quantification"

FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack

Pytorch implementation of NEGEV method. Paper: "Negative Evidence Matters in Interpretable Histology Image Classification".

This repository contains an implementation of the Permutohedral Attention Module in Pytorch

CRLT: A Unified Contrastive Learning Toolkit for Unsupervised Text Representation Learning

This is an example of object detection on Micro bacterium tuberculosis using Mask-RCNN