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 721–730 of 2042 papers

Title	Date	Tasks	Status
Co-training Transformer with Videos and Images Improves Action Recognition	Dec 14, 2021	Action ClassificationAction Recognition	—Unverified
Controlled-rearing studies of newborn chicks and deep neural networks	Dec 12, 2021	ObjectObject Recognition	—Unverified
On Adversarial Robustness of Point Cloud Semantic Segmentation	Dec 11, 2021	Adversarial RobustnessAutonomous Driving	CodeCode Available
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition	Dec 10, 2021	Object Recognition	—Unverified
Sparse Depth Completion with Semantic Mesh Deformation Optimization	Dec 10, 2021	3D Object Recognition3D Reconstruction	—Unverified
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision	Dec 6, 2021	Computational EfficiencyEvent-based vision	—Unverified
Panoptic-aware Image-to-Image Translation	Dec 3, 2021	Image GenerationImage-to-Image Translation	—Unverified
Your head is there to move you around: Goal-driven models of the primate dorsal pathway	Dec 1, 2021	Action RecognitionObject Recognition	—Unverified
An online passive-aggressive algorithm for difference-of-squares classification	Dec 1, 2021	ClassificationObject Recognition	—Unverified
Material Classification Using Active Temperature Controllable Robotic Gripper	Nov 30, 2021	ClassificationMaterial Classification	—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