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 481–490 of 2042 papers

Title	Date	Tasks	Status
Partial Coherence for Object Recognition and Depth Sensing	Nov 14, 2023	ObjectObject Recognition	—Unverified
Selective Visual Representations Improve Convergence and Generalization for Embodied AI	Nov 7, 2023	ObjectObject Recognition	—Unverified
Dataset for flood area recognition with semantic segmentation	Nov 4, 2023	Object RecognitionSemantic Segmentation	—Unverified
Open-Set Object Recognition Using Mechanical Properties During Interaction	Nov 2, 2023	ClusteringObject	—Unverified
Deep Neural Networks Can Learn Generalizable Same-Different Visual Relations	Oct 14, 2023	Object RecognitionOut-of-Distribution Generalization	—Unverified
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration	Oct 11, 2023	Image ClassificationObject Recognition	CodeCode Available
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges	Oct 5, 2023	Autonomous DrivingAutonomous Vehicles	—Unverified
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis	Oct 4, 2023	image-classificationImage Classification	—Unverified
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time	Sep 26, 2023	Object Recognition	—Unverified
Recursive Counterfactual Deconfounding for Object Recognition	Sep 25, 2023	counterfactualObject	—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