SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 1010110125 of 10420 papers

TitleStatusHype
Spatially Adaptive Computation Time for Residual NetworksCode0
TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text SpacesCode0
Text-to-Image Diffusion Models are Zero-Shot ClassifiersCode0
TextCaps : Handwritten Character Recognition with Very Small DatasetsCode0
Test-Time Training for Semantic Segmentation with Output Contrastive LossCode0
Separation and Concentration in Deep NetworksCode0
Test-Time Training with Self-Supervision for Generalization under Distribution ShiftsCode0
Seeing is Not Believing: Camouflage Attacks on Image Scaling AlgorithmsCode0
W-Net: A CNN-based Architecture for White Blood Cells Image ClassificationCode0
Training Binary Multilayer Neural Networks for Image Classification using Expectation BackpropagationCode0
Training Classifiers that are Universally Robust to All Label Noise LevelsCode0
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural NetworkCode0
SENetV2: Aggregated dense layer for channelwise and global representationsCode0
Testing DNN Image Classifiers for Confusion & Bias ErrorsCode0
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional NetworksCode0
TESDA: Transform Enabled Statistical Detection of Attacks in Deep Neural NetworksCode0
Classifier-Guided Visual Correction of Noisy Labels for Image Classification TasksCode0
SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond ClassificationCode0
Vocabulary-free Image Classification and Semantic SegmentationCode0
TensorProjection Layer: A Tensor-Based Dimension Reduction Method in Deep Neural NetworksCode0
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image ClassificationCode0
Training Faster by Separating Modes of Variation in Batch-normalized ModelsCode0
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power ApplicationsCode0
Training-free Neural Architecture Search through Variance of Knowledge of Deep Network WeightsCode0
Secure Data Sharing With Flow ModelCode0
Show:102550
← PrevPage 405 of 417Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified