Papers with Code 아카이브

Object Detection

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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/mrsempress/obmo

공식 코드

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection

https://github.com/mrwow/ladder

공식 코드

Ladder: A software to label images, detect objects and deploy models recurrently for object detection

https://github.com/mrwu-mac/EoID

공식 코드

End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation

https://github.com/ms2ku-vtts/ms2ku-vtts

공식 코드

Multi-Source Spatial Knowledge Understanding for Immersive Visual Text-to-Speech

https://github.com/mschubert95/identifying_label_errors_in_od

공식 코드

Identifying Label Errors in Object Detection Datasets by Loss Inspection

https://github.com/mshenoda/wheel-detector

공식 코드

Lighting and Rotation Invariant Real-time Vehicle Wheel Detector based on YOLOv5

https://github.com/msohaildanish/divalign

공식 코드

Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment

https://github.com/msprITU/TDIOT

공식 코드

TDIOT: Target-driven Inference for Deep Video Object Tracking

https://github.com/msracver/Deformable-ConvNets

공식 코드

Deformable Convolutional Networks

https://github.com/msracver/Flow-Guided-Feature-Aggregation

공식 코드

Flow-Guided Feature Aggregation for Video Object Detection

https://github.com/msracver/Relation-Networks-for-Object-Detection

공식 코드

Relation Networks for Object Detection

https://github.com/msundyy/faster

공식 코드

FASTer: Focal Token Acquiring-and-Scaling Transformer for Long-term 3D Object Detection

https://github.com/mtayyab454/CNN-compression-ICIP2021

공식 코드

Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning

https://github.com/multimedialabsfu/learned-point-cloud-compression-for-classification

공식 코드

Learned Point Cloud Compression for Classification

https://github.com/multitel-ai/cia

공식 코드

CIA: Controllable Image Augmentation Framework Based on Stable Diffusion

https://github.com/mumianyuxin/M3DSSD

공식 코드

M3DSSD: Monocular 3D Single Stage Object Detector

https://github.com/murufeng/EPSANet

공식 코드

EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network

https://github.com/mut-deep/ir-lpr

공식 코드

IR-LPR: Large Scale of Iranian License Plate Recognition Dataset

https://github.com/mvme-hbut/faster-orefsdet

공식 코드

Faster OreFSDet : A Lightweight and Effective Few-shot Object Detector for Ore Images

https://github.com/mvme-hbut/sdd-fti-fdet

공식 코드

Spatial-wise Dynamic Distillation for MLP-like Efficient Visual Fault Detection of Freight Trains

https://github.com/mx-mark/dmjd

공식 코드

Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling

https://github.com/mxbh/robust_object_detection

공식 코드

Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)

https://github.com/myfavouritekk/T-CNN

공식 코드

T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos

https://github.com/myfavouritekk/vdetlib

공식 코드

Object Detection from Video Tubelets with Convolutional Neural Networks

https://github.com/mystorm16/bsh-det3d

공식 코드

BSH-Det3D: Improving 3D Object Detection with BEV Shape Heatmap

https://github.com/mzeegers/DeepFODDataGenerator

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A tomographic workflow to enable deep learning for X-ray based foreign object detection

https://github.com/n-friederich/airport_fence_inspection

공식 코드

Security Fence Inspection at Airports Using Object Detection

https://github.com/n-nejatishahidin/pose_from_mid-level

공식 코드

Object Pose Estimation using Mid-level Visual Representations

https://github.com/naamiinepal/smartphone_microscopy

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Deep-learning Assisted Detection and Quantification of (oo)cysts of Giardia and Cryptosporidium on Smartphone Microscopy Images

https://github.com/nab170130/new_streamline

공식 코드

STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings

https://github.com/nalemadi/VME_CDSI_dataset_benchmark

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VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond

https://github.com/namhoonlee/snip-public

공식 코드

SNIP: Single-shot Network Pruning based on Connection Sensitivity

https://github.com/naomiex/mdha

공식 코드

MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection

https://github.com/naoto0804/cross-domain-detection

공식 코드

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation

https://github.com/nasir6/zero_shot_detection

공식 코드

Synthesizing the Unseen for Zero-shot Object Detection

https://github.com/naston/stableremaster

공식 코드

Stable Remaster: Bridging the Gap Between Old Content and New Displays

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