Papers with Code 아카이브

2D Object Detection

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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/aklein1995/drise_dmfpp_ddeletion

공식 코드

On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications

https://github.com/akola-mbey-denis/efficientensemble

공식 코드

How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertainty

https://github.com/akshitac8/ow-detr

공식 코드

OW-DETR: Open-world Detection Transformer

https://github.com/aktgpt/vq-nnf

공식 코드

Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour Fields

https://github.com/akuxcw/GridMask

공식 코드

GridMask Data Augmentation

https://github.com/alanli1997/rethinking-fpn

공식 코드

Rethinking Features-Fused-Pyramid-Neck for Object Detection

https://github.com/alanli1997/slim-neck-by-gsconv

공식 코드

Slim-neck by GSConv: A lightweight-design for real-time detector architectures

https://github.com/albert-jin/cvt-assd

공식 코드

CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector

https://github.com/alexacarlson/SensorEffectAugmentation

공식 코드

Modeling Camera Effects to Improve Visual Learning from Synthetic Data

https://github.com/alexanderhberger/cross-dim_i2g

공식 코드

Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers

https://github.com/alexandrosstergiou/adaPool

공식 코드

AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling

https://github.com/alexmehta/theia

공식 코드

Help the Blind See: Assistance for the Visually Impaired through Augmented Acoustic Simulation

https://github.com/alexsax/midlevel-reps

공식 코드

Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies

https://github.com/alextimans/conformal-od

공식 코드

Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction

https://github.com/alexzzhu/EventGAN

공식 코드

EventGAN: Leveraging Large Scale Image Datasets for Event Cameras

https://github.com/alibaba/EasyCV

공식 코드

YOLOX-PAI: An Improved YOLOX, Stronger and Faster than YOLOv6

https://github.com/alibaba/easyrobust

공식 코드

COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts

https://github.com/alibaba/easyrobust/tree/main/examples/imageclassification/imagenet/dat

공식 코드

Enhance the Visual Representation via Discrete Adversarial Training

https://github.com/alibaba/esod

공식 코드

ESOD: Efficient Small Object Detection on High-Resolution Images

https://github.com/alibaba/lightweight-neural-architecture-search

공식 코드

MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection

https://github.com/aliborji/DeetctionUpperbound

공식 코드

Empirical Upper Bound in Object Detection and More

https://github.com/aliborji/ap_box_perturbation

공식 코드

Sensitivity of Average Precision to Bounding Box Perturbations

https://github.com/aliborji/coco_oi

공식 코드

Complementary datasets to COCO for object detection

https://github.com/aliman80/Underwater-Object-Detection-via-Channel-Stablization

공식 코드

Underwater Object Detection Enhancement via Channel Stabilization

https://github.com/alinlab/selfpatch

공식 코드

Patch-level Representation Learning for Self-supervised Vision Transformers

https://github.com/alirezaazadbakht/kernel-sharing

공식 코드

Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing

https://github.com/alirezazareian/ovr-cnn

공식 코드

Open-Vocabulary Object Detection Using Captions

https://github.com/alitourani/Iranis-dataset

공식 코드

Iranis: A Large-scale Dataset of Farsi License Plate Characters

https://github.com/alivaramesh/MixtureDenseRegression

공식 코드

Mixture Dense Regression for Object Detection and Human Pose Estimation

https://github.com/aliyun/alibabacloud-quantization-networks

공식 코드

Quantization Networks

https://github.com/allenai/ai2thor

공식 코드

AI2-THOR: An Interactive 3D Environment for Visual AI

https://github.com/allenai/container

공식 코드

Container: Context Aggregation Network

https://github.com/allenai/interactron

공식 코드

Interactron: Embodied Adaptive Object Detection

https://github.com/allenchen1998/rad

공식 코드

Relevance Attack on Detectors

https://github.com/alpha-vl/convmae

공식 코드

ConvMAE: Masked Convolution Meets Masked Autoencoders

https://github.com/alpha-vllm/llama2-accessory

공식 코드

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

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