Papers with Code 아카이브

Object Detection

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전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

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

https://github.com/WoojuLee24/OA-DG

공식 코드

Object-Aware Domain Generalization for Object Detection

https://github.com/Wuziyi616/LEOD

공식 코드

LEOD: Label-Efficient Object Detection for Event Cameras

https://github.com/XJTU-Haolin/TT3D

공식 코드

3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X Orchestration

https://github.com/XavierYoungY/SALT-Net

공식 코드

Rethinking the Misalignment Problem in Dense Object Detection

https://github.com/Xiangyu-Gao/Radar_multiple_perspective_object_detection

공식 코드

RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition

https://github.com/Xianpeng919/MonoCon

공식 코드

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection

https://github.com/Xiaoqi-Zhao-DLUT/DANet-RGBD-Saliency

공식 코드

A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection

https://github.com/Xiaoqi-Zhao-DLUT/GateNet-RGB-Saliency

공식 코드

Suppress and Balance: A Simple Gated Network for Salient Object Detection

https://github.com/XingangPan/IBN-Net

공식 코드

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

https://github.com/XingangPan/Switchable-Whitening

공식 코드

Switchable Whitening for Deep Representation Learning

https://github.com/XinyiYing/RGBT-Tiny

공식 코드

Visible-Thermal Tiny Object Detection: A Benchmark Dataset and Baselines

https://github.com/XiongweiWu/Awesome-Object-Detection

공식 코드

Recent Advances in Deep Learning for Object Detection

https://github.com/Xuan-World/Mamba-YOLO-World

공식 코드

Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection

https://github.com/XueHaoWang-Beijing/DQSF

공식 코드

Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object Detection

https://github.com/XueHaoWang-Beijing/DRLF

공식 코드

Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection

https://github.com/XunshanMan/Object-oriented-SLAM

공식 코드

Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments

https://github.com/YanghaoZYH/HNM-PGD

공식 코드

Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks

https://github.com/YeLyuUT/VOSDetectron

공식 코드

Plug & Play Convolutional Regression Tracker for Video Object Detection

https://github.com/YeRen123455/Infrared-Small-Target-Detection

공식 코드

Dense Nested Attention Network for Infrared Small Target Detection

https://github.com/YeolJ00/faster-rcnn-pytorch

공식 코드

Graudally Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images

https://github.com/YeongjinOh/Sushi-Dish

공식 코드

Sushi Dish - Object detection and classification from real images

https://github.com/YinminZhang/MonoGeo

공식 코드

Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection

https://github.com/Yonsei-STL/pix2next

공식 코드

Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation

https://github.com/YoushaaMurhij/FMFNet

공식 코드

Real-time 3D Object Detection using Feature Map Flow

https://github.com/YueLiao/CDN

공식 코드

Mining the Benefits of Two-stage and One-stage HOI Detection

https://github.com/YueLiao/PPDM

공식 코드

PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

https://github.com/YuemingJin/MTRCNet-CL

공식 코드

Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

https://github.com/Yuliang-Liu/TIoU-metric

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Tightness-aware Evaluation Protocol for Scene Text Detection

https://github.com/Yuri3-xr/NMS-Bench

공식 코드

Accelerating Non-Maximum Suppression: A Graph Theory Perspective

https://github.com/YuvalNirkin/hyperseg

공식 코드

HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

https://github.com/Yzichen/FlashOCC

공식 코드

FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

https://github.com/ZFTurbo/Weighted-Boxes-Fusion

공식 코드

Weighted boxes fusion: Ensembling boxes from different object detection models

https://github.com/ZHANGHeng19931123/CFR

공식 코드

Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks

https://github.com/ZHANGHeng19931123/MutualGuide

공식 코드

Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection

https://github.com/ZJULearning/ttfnet

공식 코드

Training-Time-Friendly Network for Real-Time Object Detection

https://github.com/ZLeopard/PEDCC-Loss

공식 코드

A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids

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