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

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Showing 8401–8450 of 10420 papers

TitleStatusHype
Training Deep Neural Networks Using Posit Number System—0
Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection—0
Quasi-Newton Optimization Methods For Deep Learning Applications—0
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers—0
Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications—0
LIT: Learned Intermediate Representation Training for Model CompressionCode0
What Happens on the Edge, Stays on the Edge: Toward Compressive Deep Learning—0
STaDA: Style Transfer as Data Augmentation—0
Illuminated Decision Trees with Lucid—0
Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets—0
Detecting floodwater on roadways from image data with handcrafted features and deep transfer learningCode0
Scale Calibrated Training: Improving Generalization of Deep Networks via Scale-Specific Normalization—0
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques—0
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training AcceleratorsCode0
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification—0
Inception-inspired LSTM for Next-frame Video PredictionCode0
Learning Continually from Low-shot Data Stream—0
Unsupervised Deep Feature Transfer for Low Resolution Image Classification—0
Gated Convolutional Networks with Hybrid Connectivity for Image ClassificationCode0
A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification—0
A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification—0
Multi-Path Learnable Wavelet Neural Network for Image Classification—0
Mish: A Self Regularized Non-Monotonic Activation FunctionCode0
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural NetworksCode0
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity—0
ColorNet -- Estimating Colorfulness in Natural ImagesCode0
Image Colorization By Capsule Networks—0
Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial ExamplesCode0
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking—0
Saccader: Improving Accuracy of Hard Attention Models for VisionCode0
Density estimation in representation space to predict model uncertainty—0
Representing text as abstract images enables image classifiers to also simultaneously classify text—0
Adversarial Defense by Suppressing High-frequency ComponentsCode0
Adaptative Inference Cost With Convolutional Neural Mixture Models—0
NLNL: Negative Learning for Noisy LabelsCode0
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation—0
Symmetric Cross Entropy for Robust Learning with Noisy LabelsCode0
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture SearchCode0
Needles in Haystacks: On Classifying Tiny Objects in Large ImagesCode0
Gradient Weighted Superpixels for Interpretability in CNNs—0
Improved Mix-up with KL-Entropy for Learning From Noisy Labels—0
Sparse Bayesian approach for metric learning in latent spaceCode0
Benchmarking the Robustness of Semantic Segmentation Models—0
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation—0
Mapping of Local and Global Synapses on Spiking Neuromorphic Hardware—0
Neural Plasticity NetworksCode0
Atlas: A Dataset and Benchmark for E-commerce Clothing Product CategorizationCode0
LIP: Local Importance-based PoolingCode0
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch NoiseCode0
PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified