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 1141–1150 of 2042 papers

Title	Date	Tasks	Status
Visual Sentiment Prediction with Deep Convolutional Neural Networks	Nov 21, 2014	Object RecognitionPrediction	—Unverified
Visuo-Haptic Object Perception for Robots: An Overview	Mar 22, 2022	ArticlesObject	—Unverified
ViTCN: Vision Transformer Contrastive Network For Reasoning	Mar 15, 2024	Object Recognition	—Unverified
Volumetric Convolution: Automatic Representation Learning in Unit Ball	Jan 3, 2019	3D Object RecognitionObject Recognition	—Unverified
VSEM: An open library for visual semantics representation	Aug 1, 2013	Image ClassificationImage Retrieval	—Unverified
Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications	Dec 23, 2020	Direction of Arrival EstimationObject Recognition	—Unverified
Wasserstein Dependency Measure for Representation Learning	Mar 28, 2019	Object Recognitionreinforcement-learning	—Unverified
WaveTransform: Crafting Adversarial Examples via Input Decomposition	Oct 29, 2020	Adversarial DefenseObject Recognition	—Unverified
Weakly Supervised Image Classification Through Noise Regularization	Jun 1, 2019	ClassificationGeneral Classification	—Unverified
Weakly Supervised Instance Attention for Multisource Fine-Grained Object Recognition with an Application to Tree Species Classification	May 23, 2021	ObjectObject 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