Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 331–340 of 2042 papers

Title	Date	Tasks	Status
ChartKG: A Knowledge-Graph-Based Representation for Chart Images	Oct 13, 2024	Chart Question AnsweringKnowledge Graph Completion	—Unverified
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts	Oct 8, 2024	Instance SegmentationObject	—Unverified
DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning	Oct 7, 2024	Face VerificationMetric Learning	CodeCode Available
MVP-Bench: Can Large Vision--Language Models Conduct Multi-level Visual Perception Like Humans?	Oct 6, 2024	Object Recognition	CodeCode Available
Fast Object Detection with a Machine Learning Edge Device	Oct 5, 2024	Autonomous NavigationCPU	—Unverified
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions	Oct 2, 2024	Autonomous DrivingComputational Efficiency	CodeCode Available
Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection	Oct 1, 2024	3D Object DetectionObject	—Unverified
Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormer	Oct 1, 2024	Object RecognitionSegmentation	—Unverified
You Only Speak Once to See	Sep 27, 2024	Contrastive LearningObject	—Unverified
Enhancing Crime Scene Investigations through Virtual Reality and Deep Learning Techniques	Sep 27, 2024	Object Recognition	—Unverified

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All datasets shape bias CIFAR10-DVS N-Caltech 101 ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 Gesture MECCANO N-CARS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Imagen	shape bias	98.7	—	Unverified
2	Stable Diffusion	shape bias	92.7	—	Unverified
3	Parti	shape bias	91.7	—	Unverified
4	ViT-22B-384	shape bias	86.4	—	Unverified
5	ViT-22B-560	shape bias	83.8	—	Unverified
6	CLIP (ViT-B)	shape bias	79.9	—	Unverified
7	ViT-22B-224	shape bias	78	—	Unverified
8	ResNet-50 (L2 eps 5.0 adv trained)	shape bias	69.5	—	Unverified
9	ResNet-50 (with strong augmentations)	shape bias	62.2	—	Unverified
10	SWSL (ResNeXt-101)	shape bias	49.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.55	—	Unverified
2	SSNN	Accuracy (% )	78.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.62	—	Unverified
2	SSNN	Accuracy (% )	79.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	18.75	—	Unverified
2	yun	Top 5 Accuracy	14.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	DY	Top 5 Accuracy	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	AJ2021	Top 5 Accuracy	27.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSNN	Accuracy (% )	94.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Faster-RCNN	mAP	30.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	96	—	Unverified