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 571–580 of 2042 papers

Title	Date	Tasks	Status	Hype
The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods	Mar 4, 2022	Anomaly DetectionObject	—Unverified	0
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection	Mar 2, 2022	Content-Based Image RetrievalDeep Learning	—Unverified	0
TANDEM: Learning Joint Exploration and Decision Making with Tactile Sensors	Mar 1, 2022	Decision MakingEfficient Exploration	—Unverified	0
Building a visual semantics aware object hierarchy	Feb 26, 2022	ObjectObject Recognition	—Unverified	0
Universal adversarial perturbation for remote sensing images	Feb 22, 2022	ClassificationDecoder	—Unverified	0
Visual Ground Truth Construction as Faceted Classification	Feb 17, 2022	ClassificationObject Recognition	—Unverified	0
Survey on Self-supervised Representation Learning Using Image Transformations	Feb 17, 2022	Object RecognitionRepresentation Learning	—Unverified	0
Reducing Overconfidence Predictions for Autonomous Driving Perception	Feb 16, 2022	Autonomous DrivingDecision Making	—Unverified	0
Debiased Self-Training for Semi-Supervised Learning	Feb 15, 2022	Object RecognitionScene Classification	CodeCode Available	1
HAKE: A Knowledge Engine Foundation for Human Activity Understanding	Feb 14, 2022	Action RecognitionHuman-Object Interaction Detection	CodeCode Available	2

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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