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 621–630 of 2042 papers

Title	Date	Tasks	Status
Do We Need More Training Data?	Mar 5, 2015	Object Recognition	—Unverified
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments	Feb 29, 2024	AttributeCollision Avoidance	—Unverified
Bridging between Computer and Robot Vision through Data Augmentation: a Case Study on Object Recognition	May 5, 2017	Data AugmentationObject	—Unverified
DTM: Deformable Template Matching	Apr 12, 2016	Object RecognitionTemplate Matching	—Unverified
Dual-attention Focused Module for Weakly Supervised Object Localization	Sep 11, 2019	ObjectObject Localization	—Unverified
Dual coordinate solvers for large-scale structural SVMs	Dec 6, 2013	3D Object RecognitionAction Classification	—Unverified
A neuromorphic approach to image processing and machine vision	Aug 7, 2022	Image SegmentationObject Recognition	—Unverified
Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery	May 18, 2016	Object RecognitionRoad Segmentation	—Unverified
Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval	Mar 1, 2024	ObjectObject Recognition	—Unverified
Advancing Egocentric Video Question Answering with Multimodal Large Language Models	Apr 6, 2025	Object RecognitionQuestion Answering	—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