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

Showing 11261150 of 2042 papers

TitleStatusHype
VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification0
ViEEG: Hierarchical Neural Coding with Cross-Modal Progressive Enhancement for EEG-Based Visual Decoding0
View-Invariant Template Matching Using Homography Constraints0
View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation0
VisBuddy -- A Smart Wearable Assistant for the Visually Challenged0
Vision at A Glance: Interplay between Fine and Coarse Information Processing Pathways0
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks0
Vision Transformer with Convolutions Architecture Search0
Visual7W: Grounded Question Answering in Images0
Visual Classifier Prediction by Distributional Semantic Embedding of Text Descriptions0
Visual Features for Linguists: Basic image analysis techniques for multimodally-curious NLPers0
Visual Ground Truth Construction as Faceted Classification0
Visual Language Models show widespread visual deficits on neuropsychological tests0
Visual recognition in the wild by sampling deep similarity functions0
Visual Relationship Detection using Scene Graphs: A Survey0
Visual Sentiment Prediction with Deep Convolutional Neural Networks0
Visuo-Haptic Object Perception for Robots: An Overview0
ViTCN: Vision Transformer Contrastive Network For Reasoning0
Volumetric Convolution: Automatic Representation Learning in Unit Ball0
VSEM: An open library for visual semantics representation0
Warping of Radar Data into Camera Image for Cross-Modal Supervision in Automotive Applications0
Wasserstein Dependency Measure for Representation Learning0
WaveTransform: Crafting Adversarial Examples via Input Decomposition0
Weakly Supervised Image Classification Through Noise Regularization0
Weakly Supervised Instance Attention for Multisource Fine-Grained Object Recognition with an Application to Tree Species Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Imagenshape bias98.7Unverified
2Stable Diffusionshape bias92.7Unverified
3Partishape bias91.7Unverified
4ViT-22B-384shape bias86.4Unverified
5ViT-22B-560shape bias83.8Unverified
6CLIP (ViT-B)shape bias79.9Unverified
7ViT-22B-224shape bias78Unverified
8ResNet-50 (L2 eps 5.0 adv trained)shape bias69.5Unverified
9ResNet-50 (with strong augmentations)shape bias62.2Unverified
10SWSL (ResNeXt-101)shape bias49.8Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.55Unverified
2SSNNAccuracy (% )78.57Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.62Unverified
2SSNNAccuracy (% )79.25Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy18.75Unverified
2yunTop 5 Accuracy14.75Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24Unverified
2DYTop 5 Accuracy0.08Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24Unverified
2AJ2021Top 5 Accuracy27.68Unverified
#ModelMetricClaimedVerifiedStatus
1SSNNAccuracy (% )94.91Unverified
#ModelMetricClaimedVerifiedStatus
1Faster-RCNNmAP30.39Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )96Unverified