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 226–250 of 2042 papers

Title	Date	Tasks	Status	Score
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?	Sep 23, 2021	Object RecognitionRepresentation Learning	CodeCode Available	5
Human Eyes Inspired Recurrent Neural Networks are More Robust Against Adversarial Noises	Jun 15, 2022	Adversarial RobustnessFoveation	CodeCode Available	5
Human-like Clustering with Deep Convolutional Neural Networks	Jun 15, 2017	ClusteringObject Recognition	CodeCode Available	5
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition	Oct 3, 2014	image-classificationImage Classification	CodeCode Available	5
Grounded Human-Object Interaction Hotspots from Video	Dec 11, 2018	Human-Object Interaction DetectionObject	CodeCode Available	5
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models	Nov 9, 2024	Object Recognition	CodeCode Available	5
Grid-augmented vision: A simple yet effective approach for enhanced spatial understanding in multi-modal agents	Nov 27, 2024	Autonomous NavigationObject Recognition	CodeCode Available	5
Global Second-order Pooling Convolutional Networks	Nov 29, 2018	Object Recognition	CodeCode Available	5
Grid Cell Path Integration For Movement-Based Visual Object Recognition	Feb 17, 2021	Few-Shot LearningNavigate	CodeCode Available	5
Hierarchical Superpixel Segmentation via Structural Information Theory	Jan 13, 2025	graph constructiongraph partitioning	CodeCode Available	5
Tuned Compositional Feature Replays for Efficient Stream Learning	Apr 6, 2021	Continual LearningImage Classification	CodeCode Available	5
Generalized Relevance Learning Grassmann Quantization	Mar 14, 2024	Activity RecognitionFace Recognition	CodeCode Available	5
Ambient Sound Provides Supervision for Visual Learning	Aug 25, 2016	Object Recognition	CodeCode Available	5
Optimizing Spatio-Temporal Information Processing in Spiking Neural Networks via Unconstrained Leaky Integrate-and-Fire Neurons and Hybrid Coding	Aug 22, 2024	object-detectionObject Detection	CodeCode Available	5
Generate To Adapt: Aligning Domains using Generative Adversarial Networks	Apr 6, 2017	Domain AdaptationGenerative Adversarial Network	CodeCode Available	5
Generalisation in humans and deep neural networks	Aug 27, 2018	Object Recognition	CodeCode Available	5
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis	Mar 18, 2022	BenchmarkingObject Recognition	CodeCode Available	5
Genetic CNN	Mar 4, 2017	Object Recognition	CodeCode Available	5
FPNN: Field Probing Neural Networks for 3D Data	May 20, 2016	3D geometry3D Object Recognition	CodeCode Available	5
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks	Dec 28, 2017	Object RecognitionTranslation	CodeCode Available	5
GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark	May 5, 2023	Objectobject-detection	CodeCode Available	5
Geometric and Textural Augmentation for Domain Gap Reduction	Jan 1, 2022	ObjectObject Recognition	CodeCode Available	5
Attention Based Pruning for Shift Networks	May 29, 2019	Object Recognition	CodeCode Available	5
Improving Out-of-Distribution Detection with Disentangled Foreground and Background Features	Mar 15, 2023	DisentanglementObject Recognition	CodeCode Available	5
On Adversarial Robustness of Point Cloud Semantic Segmentation	Dec 11, 2021	Adversarial RobustnessAutonomous Driving	CodeCode Available	5

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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