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평가표

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보존된 평가 기록

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코드

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

https://github.com/bcmi/tramas-weak-shot-object-detection

공식 코드

Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity

https://github.com/bcv-uniandes/stride

공식 코드

STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction

https://github.com/beckschen/transmix

공식 코드

TransMix: Attend to Mix for Vision Transformers

https://github.com/beiyan1911/players-iod

공식 코드

Refined Response Distillation for Class-Incremental Player Detection

https://github.com/believeinlain/asynch-cv

공식 코드

Real-Time Event-Based Tracking and Detection for Maritime Environments

https://github.com/bellatong/meunet

공식 코드

Multi-scale Edge-based U-shape Network for Salient Object Detection

https://github.com/bellybeauty/mdsam

공식 코드

Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection

https://github.com/ben57882/c2fnet-tscvt

공식 코드

Camouflaged Object Detection via Context-aware Cross-level Fusion

https://github.com/benbergner/cropr

공식 코드

Token Cropr: Faster ViTs for Quite a Few Tasks

https://github.com/benjaminrwilson/range-view-3d-detection

공식 코드

What Matters in Range View 3D Object Detection

https://github.com/berkdogan2/GWAInet

공식 코드

Exemplar Guided Face Image Super-Resolution without Facial Landmarks

https://github.com/berkeley-hipie/hipie

공식 코드

Hierarchical Open-vocabulary Universal Image Segmentation

https://github.com/bertinetto/siamese-fc

공식 코드

Fully-Convolutional Siamese Networks for Object Tracking

https://github.com/bethgelab/imagecorruptions

공식 코드

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

https://github.com/bethgelab/mmdetection

공식 코드

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

https://github.com/bethgelab/robust-detection-benchmark

공식 코드

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

https://github.com/bethgelab/siamese-mask-rcnn

공식 코드

One-Shot Instance Segmentation

https://github.com/bethgelab/stylize-datasets

공식 코드

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

https://github.com/better-chao/perceptual_abilities_evaluation

공식 코드

Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation

https://github.com/bia006/darts

공식 코드

DARTS: Double Attention Reference-based Transformer for Super-resolution

https://github.com/bia006/hitsr

공식 코드

HiTSR: A Hierarchical Transformer for Reference-based Super-Resolution

https://github.com/bic-l/burst-ann2snn

공식 코드

Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks

https://github.com/bichunyang419/deedsr

공식 코드

DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion

https://github.com/biclab/spike-driven-transformer-v3

공식 코드

Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training

https://github.com/biclab/spikeyolo

공식 코드

Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection

https://github.com/big-feather/PICR-Net_ACMMM23_MS

공식 코드

Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection

https://github.com/bigvideoresearch/OIM

공식 코드

Object Instance Mining for Weakly Supervised Object Detection

https://github.com/bigwangyudong/lqit

공식 코드

Is Underwater Image Enhancement All Object Detectors Need?

https://github.com/bilel-bj/tau

공식 코드

TAU: A Framework for Video-Based Traffic Analytics Leveraging Artificial Intelligence and Unmanned Aerial Systems

https://github.com/billhhh/FQSR

공식 코드

Fully Quantized Image Super-Resolution Networks

https://github.com/bimsarapathiraja/mccl

공식 코드

Multiclass Confidence and Localization Calibration for Object Detection

https://github.com/bingqingzhang/odd-vod

공식 코드

Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection

https://github.com/bingykang/Fewshot_Detection

공식 코드

Few-shot Object Detection via Feature Reweighting

https://github.com/binh24399/d-close

공식 코드

Towards Better Explanations for Object Detection

https://github.com/binyisu/food

공식 코드

Towards Generalized Few-Shot Open-Set Object Detection

https://github.com/binyisu/fsosod

공식 코드

Towards Generalized Few-Shot Open-Set Object Detection

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