xavysp

DexiNed

DexiNed: Dense EXtreme Inception Network for Edge Detection

TEED

TEED: Tiny and Efficient Edge Detector

LDC

LDC: Lightweight Dense CNN for Edge Detection

MBIPED

Barcelona Images for Perceptual Edge Detection (BIPED) Dataset---descriptions

UDED

UDED: Edge detection dataset

BRIND

(Under construction) The BSDS dataset for edge detection annotated by @MengyangPu

edge_eval_python_xsp

A python implementation of edge eval

hed-pytorch

A PyTorch reimplementation of Holistically-Nested Edge Detection

ml-mobileone_xsp

This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

pidinet_xsp

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

RCF-pytorch

Richer Convolutional Features for Edge Detection model in pytorch

Awesome-Edge-Detection-Papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

BDCN_xsp

The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection

BRRF

Boundaries and Region Representation Fusion

dataset2

Data augmentation methods

DecoupleSegNets

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

EDTER_xsp

EDTER: Edge Detection with Transformer, in CVPR 2022

ELAN

[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution

fastseg

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

TIN_xsp

TRADITIONAL METHOD INSPIRED DEEP NEURAL NETWORK FOR EDGE DETECTION

UAED_xsp

A slightly modification from UAED

White-box-Cartoonization

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

CATS_xsp

Convolutional-KANs

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

dynamic_loss_xsp

eo

EOLANG, an Experimental Pure Object-Oriented Programming Language Based on 𝜑-calculus

eval-edge-pytorch_xsp

Stop relying on matlab and speed up evaling

TMIC

Tiny Model for Image Classification

UniMatch_xsp

[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation