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 1181–1190 of 2042 papers

Title	Date	Tasks	Status
Zero-shot object prediction using semantic scene knowledge	Apr 27, 2016	ObjectObject Recognition	—Unverified
Zero-Shot Object Recognition by Semantic Manifold Distance	Jun 1, 2015	AttributeObject	—Unverified
Zero-Shot Object Recognition System based on Topic Model	Oct 14, 2014	AttributeGeneral Classification	—Unverified
Zero-shot recognition with unreliable attributes	Dec 1, 2014	AttributeObject Recognition	—Unverified
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?	Jul 24, 2019	DescriptiveObject Recognition	—Unverified
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM	Apr 30, 2025	Image CaptioningObject Recognition	—Unverified
Generating Clear Images From Images With Distortions Caused by Adverse Weather Using Generative Adversarial Networks	Nov 1, 2022	Autonomous DrivingAutonomous Vehicles	—Unverified
Generating Image Descriptions with Gold Standard Visual Inputs: Motivation, Evaluation and Baselines	Sep 1, 2015	Image RetrievalObject Recognition	—Unverified
Generating Photo-realistic Images from LiDAR Point Clouds with Generative Adversarial Networks	Dec 20, 2021	ObjectObject Recognition	—Unverified
Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models	May 24, 2017	Bayesian InferenceMetric Learning	—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