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 376–400 of 2042 papers

TitleStatusHype
Real-Time 3D Occupancy Prediction via Geometric-Semantic Disentanglement—0
Data-driven Verification of DNNs for Object Recognition—0
Teaching CORnet Human fMRI Representations for Enhanced Model-Brain Alignment—0
Introducing VaDA: Novel Image Segmentation Model for Maritime Object Segmentation Using New Dataset—0
CEIA: CLIP-Based Event-Image Alignment for Open-World Event-Based Understanding—0
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics—0
The Cooperative Network Architecture: Learning Structured Networks as Representation of Sensory PatternsCode0
Interpreting the Residual Stream of ResNet18—0
CBM: Curriculum by MaskingCode0
Object recognition in primates: What can early visual areas contribute?—0
Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation—0
EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More—0
Efficient Event Stream Super-Resolution with Recursive Multi-Branch FusionCode0
Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiency—0
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data—0
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex—0
The BabyView dataset: High-resolution egocentric videos of infants' and young children's everyday experiences—0
A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis—0
I-MPN: Inductive Message Passing Network for Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data—0
ALGO: Object-Grounded Visual Commonsense Reasoning for Open-World Egocentric Action Recognition—0
Haptic in-sensor computing device made of carbon nanotube-polydimethylsiloxane nanocomposites—0
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition—0
A Review of Pulse-Coupled Neural Network Applications in Computer Vision and Image Processing—0
Face processing emerges from object-trained convolutional neural networks—0
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding—0
Show:102550
← PrevPage 16 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