PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation

Last update: Dec 06, 2022

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deep-hist

PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation

PyTorch modules are ready to be used (metrics & histogram layers). Run hist_loss to produce plots and metrics for example images.

Owner

Winfried Lötzsch

GitHub Repository

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You can draw the corresponding bounding box into the image and save it according to the result file (txt format) run by the tracker.

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PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation

Related tags

Overview

deep-hist

Owner

Winfried Lötzsch

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

A module that used for encrypt code which includes RSA and AES

CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. ICCV 2021

Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions

List of papers, code and experiments using deep learning for time series forecasting

Implementation for "Seamless Manga Inpainting with Semantics Awareness" (SIGGRAPH 2021 issue)

Official TensorFlow code for the forthcoming paper

Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022

Official implementation of the NeurIPS 2021 paper Online Learning Of Neural Computations From Sparse Temporal Feedback

You can draw the corresponding bounding box into the image and save it according to the result file (txt format) run by the tracker.

DECAF: Deep Extreme Classification with Label Features

Official implementation for "Style Transformer for Image Inversion and Editing" (CVPR 2022)

✅ How Robust are Fact Checking Systems on Colloquial Claims?. In NAACL-HLT, 2021.

DABO: Data Augmentation with Bilevel Optimization

The PyTorch implementation of DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.

Code, environments, and scripts for the paper: "How Private Is Your RL Policy? An Inverse RL Based Analysis Framework"

OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers (NeurIPS 2021)

FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data