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Object Detection On Pascal Voc 2007

Metrics

MAP

Results

Performance results of various models on this benchmark

Paper TitleRepository
Cascade Eff-B7 NAS-FPN (Copy Paste pre-training, single-scale)89.3%Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
YOLO-Former86.01%YOLO-Former: YOLO Shakes Hand With ViT-
DETReg (MDef-DETR)84.16%Class-agnostic Object Detection with Multi-modal Transformer
HSD (VGG16, 512x512, single-scale test)83.0%Hierarchical Shot Detector-
CoupleNet82.7%CoupleNet: Coupling Global Structure with Local Parts for Object Detection
EEEA-Net-C2 (YOLOv4)81.8%EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
HSD (VGG16, 320x320, single-scale test)81.7%Hierarchical Shot Detector-
SSD512 (07+12+COCO)81.6%SSD: Single Shot MultiBox Detector
BlitzNet512 + seg (s8)81.5%BlitzNet: A Real-Time Deep Network for Scene Understanding
Localize81.5%Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection
CenterNet(DLA34, Flip, 512x512)80.7%Objects as Points
PS-KD (ResNet-152, CutMix)79.7%Self-Knowledge Distillation with Progressive Refinement of Targets
DPNet79.2%DPNet: Dual-Path Network for Real-time Object Detection with Lightweight Attention
OHEM78.9%Training Region-based Object Detectors with Online Hard Example Mining
YOLO v278.6%YOLO9000: Better, Faster, Stronger
ThunderNet SNet535 Backbone78.6%ThunderNet: Towards Real-time Generic Object Detection
DeNet-101 (skip)77.1%DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling
I+ORE76.2%Random Erasing Data Augmentation
Perona Malik (Perona and Malik, 1990)74.37%Learning Visual Representations for Transfer Learning by Suppressing Texture
FRCN74.2%A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
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Object Detection On Pascal Voc 2007 | SOTA | HyperAI