SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 2042 papers

TitleStatusHype
LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition—0
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency—0
V^2R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations—0
Quantum Doubly Stochastic Transformers—0
Naturally Computed Scale Invariance in the Residual Stream of ResNet18Code0
DVLTA-VQA: Decoupled Vision-Language Modeling with Text-Guided Adaptation for Blind Video Quality Assessment—0
Visual Language Models show widespread visual deficits on neuropsychological tests—0
MASSeg : 2nd Technical Report for 4th PVUW MOSE TrackCode0
Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: a Review—0
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition—0
Advancing Egocentric Video Question Answering with Multimodal Large Language Models—0
Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users—0
ForcePose: A Deep Learning Approach for Force Calculation Based on Action Recognition Using MediaPipe Pose Estimation Combined with Object Detection—0
Foveated Instance SegmentationCode0
DuckSegmentation: A segmentation model based on the AnYue Hemp Duck Dataset—0
Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection—0
MATT-GS: Masked Attention-based 3DGS for Robot Perception and Object Detection—0
Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving—0
Beyond Semantics: Rediscovering Spatial Awareness in Vision-Language Models—0
TULIP: Towards Unified Language-Image Pretraining—0
Augmenting Image Annotation: A Human-LMM Collaborative Framework for Efficient Object Selection and Label Generation—0
OSMa-Bench: Evaluating Open Semantic Mapping Under Varying Lighting Conditions—0
Seeing What's Not There: Spurious Correlation in Multimodal LLMs—0
Object-Centric World Model for Language-Guided Manipulation—0
Afford-X: Generalizable and Slim Affordance Reasoning for Task-oriented Manipulation—0
Show:102550
← PrevPage 11 of 82Next →
All datasetsshape biasCIFAR10-DVSN-Caltech 101ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 GestureMECCANON-CARS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Imagenshape bias98.7—Unverified
2Stable Diffusionshape bias92.7—Unverified
3Partishape bias91.7—Unverified
4ViT-22B-384shape bias86.4—Unverified
5ViT-22B-560shape bias83.8—Unverified
6CLIP (ViT-B)shape bias79.9—Unverified
7ViT-22B-224shape bias78—Unverified
8ResNet-50 (L2 eps 5.0 adv trained)shape bias69.5—Unverified
9ResNet-50 (with strong augmentations)shape bias62.2—Unverified
10SWSL (ResNeXt-101)shape bias49.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.55—Unverified
2SSNNAccuracy (% )78.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.62—Unverified
2SSNNAccuracy (% )79.25—Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy18.75—Unverified
2yunTop 5 Accuracy14.75—Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24—Unverified
2DYTop 5 Accuracy0.08—Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24—Unverified
2AJ2021Top 5 Accuracy27.68—Unverified
#ModelMetricClaimedVerifiedStatus
1SSNNAccuracy (% )94.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Faster-RCNNmAP30.39—Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )96—Unverified