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2dclassification_for_seismics

Determination of faults by appliung unet to 2d seismic images

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

blind_watermark

Blind&Invisible Watermark ，图片盲水印，提取水印无须原图！

cd-fsod

cme

cnn-for-asi

Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation

cocoapi

COCO API - Dataset @ http://cocodataset.org/

dandr

deep-blind-watermark-removal

[AAAI 2021] Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

dpif

Training and evaluation code for paper "Inference Fusion with Associative Semantics for Unseen Object Detection", AAAI 2021.

few-shot-object-detection

Implementations of few-shot object detection benchmarks

fewshot_detection

Few-shot Object Detection via Feature Reweighting

fsce

hidden

Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei

hinet

Official PyTorch implementation of "HiNet: Deep Image Hiding by Invertible Network" (ICCV 2021)

horizontracker

data-driven seismic horizon tracking using non-local dynamic time warping

htrpn

Init commit for HTRPN

kaggle-2020-alaska2

lvc

Official repo for our CVPR 22 paper: "Label, Verify, Correct: A Simple Few-Shot Object Detection Method"

meta-detr

[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation

mfdc

Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection

mmfewshot

OpenMMLab FewShot Learning Toolbox and Benchmark

msocl

The code for “Multiscale Object Contrastive Learning–Derived Few-Shot Object Detection in VHR imagery”

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

qa-fewdet

Code for ICCV 2021 paper: 'Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks'

rp-fsod

svd-dictionary-enhancement

vfa

Official code of the paper "Few-Shot Object Detection via Variational Feature Aggregation" (AAAI 2023)

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite