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 231–240 of 2042 papers

Title	Date	Tasks	Status	Hype
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning	Apr 6, 2024	Computational EfficiencyModel Optimization	—Unverified	0
Is CLIP the main roadblock for fine-grained open-world perception?	Apr 4, 2024	Autonomous DrivingNovel Concepts	CodeCode Available	2
One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation	Apr 2, 2024	3D Object RecognitionAll	CodeCode Available	0
SUGAR: Pre-training 3D Visual Representations for Robotics	Apr 1, 2024	3D Instance Segmentation3D Object Recognition	—Unverified	0
Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition	Apr 1, 2024	Objectobject-detection	—Unverified	0
Constructing Multilingual Visual-Text Datasets Revealing Visual Multilingual Ability of Vision Language Models	Mar 29, 2024	Image-text matchingObject Recognition	—Unverified	0
Efficient Multi-Band Temporal Video Filter for Reducing Human-Robot Interaction	Mar 26, 2024	Object Recognition	—Unverified	0
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding	Mar 22, 2024	GPUImage Classification	—Unverified	0
PseudoTouch: Efficiently Imaging the Surface Feel of Objects for Robotic Manipulation	Mar 22, 2024	ObjectObject Recognition	—Unverified	0
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures	Mar 21, 2024	DenoisingImage Denoising	CodeCode Available	0

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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