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2D Classification

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/xianjun-yang/quokka

공식 코드

Quokka: An Open-source Large Language Model ChatBot for Material Science

https://github.com/xiaoachen98/DDB

공식 코드

Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation

https://github.com/xiaoaoran/polarmix

공식 코드

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

https://github.com/xiaochen925/caf-yolo

공식 코드

CAF-YOLO: A Robust Framework for Multi-Scale Lesion Detection in Biomedical Imagery

https://github.com/xiaodetection/learning-heavily-degraed-prior

공식 코드

Learning Heavily-Degraded Prior for Underwater Object Detection

https://github.com/xiaofei05/tsst

공식 코드

Transductive Learning for Unsupervised Text Style Transfer

https://github.com/xiaofeng-life/icdehazing

공식 코드

Illumination Controllable Dehazing Network based on Unsupervised Retinex Embedding

https://github.com/xiaofeng94/gen-enhanced-negs

공식 코드

Generating Enhanced Negatives for Training Language-Based Object Detectors

https://github.com/xiaofeng94/sas-det

공식 코드

Taming Self-Training for Open-Vocabulary Object Detection

https://github.com/xiaofeng94/vl-plm

공식 코드

Exploiting Unlabeled Data with Vision and Language Models for Object Detection

https://github.com/xiaohao-xu/unified-pretrain-ad

공식 코드

Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D Perception

https://github.com/xiaohaoChen/rrc_detection

공식 코드

Accurate Single Stage Detector Using Recurrent Rolling Convolution

https://github.com/xiaohui-victor-li/FinDKG

공식 코드

FinDKG: Dynamic Knowledge Graphs with Large Language Models for Detecting Global Trends in Financial Markets

https://github.com/xiaohulugo/ScAR-Scaling-Adversarial-Robustness-for-LiDAR-Object-Detection

공식 코드

ScAR: Scaling Adversarial Robustness for LiDAR Object Detection

https://github.com/xiaohulugo/scar-iros2023

공식 코드

ScAR: Scaling Adversarial Robustness for LiDAR Object Detection

https://github.com/xiaohulugo/t-ro2024-dali

공식 코드

DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label Denoising

https://github.com/xiaojie1017/Human-Parts

공식 코드

Detector-in-Detector: Multi-Level Analysis for Human-Parts

https://github.com/xiaolonw/adversarial-frcnn

공식 코드

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

https://github.com/xiaomabufei/dowb

공식 코드

Detecting the open-world objects with the help of the Brain

https://github.com/xiaomabufei/skdf

공식 코드

SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-world Object Detector

https://github.com/xiaomoguhz/declip

공식 코드

DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception

https://github.com/xiaomoguhz/ov-dquo

공식 코드

OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision

https://github.com/xiaoqi-zhao-dlut/mmft

공식 코드

Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction

https://github.com/xiaoqi-zhao-dlut/sslsod

공식 코드

Self-Supervised Pretraining for RGB-D Salient Object Detection

https://github.com/xiaoqi-zhao-dlut/x-ray-pbd

공식 코드

Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and Baseline

https://github.com/xiaow-liu/sdcfusion

공식 코드

Rethinking the Evaluation of Visible and Infrared Image Fusion

https://github.com/xiaoyihan6/fsdmethod

공식 코드

Fire and Smoke Detection with Burning Intensity Representation

https://github.com/xieenze/DetCo

공식 코드

DetCo: Unsupervised Contrastive Learning for Object Detection

https://github.com/xieenze/PolarMask

공식 코드

PolarMask: Single Shot Instance Segmentation with Polar Representation

https://github.com/xieyuankun/fsd-dataset

공식 코드

FSD: An Initial Chinese Dataset for Fake Song Detection

https://github.com/xifen523/cod

공식 코드

Towards Consistent Object Detection via LiDAR-Camera Synergy

https://github.com/xijie-xiang/event-temporal-up-sampling

공식 코드

Temporal Up-Sampling for Asynchronous Events

https://github.com/xin-ran-w/capagent

공식 코드

From Simple to Professional: A Combinatorial Controllable Image Captioning Agent

https://github.com/xingaoli/dp-hoi

공식 코드

Disentangled Pre-training for Human-Object Interaction Detection

https://github.com/xinge008/Cylinder3D

공식 코드

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

https://github.com/xinge008/SSN

공식 코드

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.