Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

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

https://github.com/divadi/detmatch

공식 코드

DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection

https://github.com/divadi/solofusion

공식 코드

Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

https://github.com/divelab/dilated

공식 코드

Smoothed Dilated Convolutions for Improved Dense Prediction

https://github.com/djamahl99/findnpropagate

공식 코드

Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

https://github.com/djghosh13/geneval

공식 코드

GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

https://github.com/djiajunustc/H-23D_R-CNN

공식 코드

From Multi-View to Hollow-3D: Hallucinated Hollow-3D R-CNN for 3D Object Detection

https://github.com/djiajunustc/Voxel-R-CNN

공식 코드

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

https://github.com/djning/see_beyond_seeing

공식 코드

Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation

https://github.com/djordjened92/yudo

공식 코드

YUDO: YOLO for Uniform Directed Object Detection

https://github.com/dkadish/Style-Transfer-for-Object-Detection-in-Art

공식 코드

Improving Object Detection in Art Images Using Only Style Transfer

https://github.com/dkoguciuk/ensemble_learning_for_point_clouds

공식 코드

3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models

https://github.com/dkxocl/rosseta

공식 코드

Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism

https://github.com/dliu5812/ddf

공식 코드

Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement

https://github.com/dlr-mi/utrack

공식 코드

UTrack: Multi-Object Tracking with Uncertain Detections

https://github.com/dlut-dimt/Realworld-Underwater-Image-Enhancement-RUIE-Benchmark

공식 코드

Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions

https://github.com/dlut-dimt/tardal

공식 코드

Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection

https://github.com/dmlc/gluon-cv

공식 코드

Bag of Tricks for Image Classification with Convolutional Neural Networks

https://github.com/dmtjepa/dmtjepa

공식 코드

DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture

https://github.com/docf/multispectral-object-detection

공식 코드

Cross-Modality Fusion Transformer for Multispectral Object Detection

https://github.com/doem97/deblora

공식 코드

Learning De-Biased Representations for Remote-Sensing Imagery

https://github.com/dong-huo/rgb-t-glass-segmentation

공식 코드

Glass Segmentation with RGB-Thermal Image Pairs

https://github.com/dongchen06/scooterdet

공식 코드

Performance Evaluation of Real-Time Object Detection for Electric Scooters

https://github.com/dongfang-steven-yang/faraway-frustum

공식 코드

Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion

https://github.com/donglao/mindelay

공식 코드

Minimum Delay Object Detection From Video

https://github.com/dongnana777/bridging-non-co-occurrence

공식 코드

Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection

https://github.com/dongsky/mr-gdino

공식 코드

MR-GDINO: Efficient Open-World Continual Object Detection

https://github.com/donkeymouse/thermalchameleon

공식 코드

Thermal Chameleon: Task-Adaptive Tone-mapping for Radiometric Thermal-Infrared images

https://github.com/dop0/dvpe

공식 코드

DVPE: Divided View Position Embedding for Multi-View 3D Object Detection

https://github.com/doranlyong/spanetv2-official

공식 코드

Spectral-Adaptive Modulation Networks for Visual Perception

https://github.com/dotori-hj/digit

공식 코드

DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer

https://github.com/dotori-hj/te-tad

공식 코드

TE-TAD: Towards Full End-to-End Temporal Action Detection via Time-Aligned Coordinate Expression

https://github.com/douglasrizzo/JINT2020-ball-detection

공식 코드

Detecting soccer balls with reduced neural networks: a comparison of multiple architectures under constrained hardware scenarios

https://github.com/dr-lingxiao/ag-man

공식 코드

Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval

https://github.com/dragonlee258079/DMT

공식 코드

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection

https://github.com/dragonlzm/EZSD

공식 코드

Efficient Feature Distillation for Zero-shot Annotation Object Detection

https://github.com/dragonlzm/ezad

공식 코드

Efficient Feature Distillation for Zero-shot Annotation Object Detection

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