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 89268950 of 10420 papers

TitleStatusHype
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture SearchCode1
Detecting Adversarial Examples in Convolutional Neural Networks0
Variational Saccading: Efficient Inference for Large Resolution ImagesCode0
Adversarial Defense of Image Classification Using a Variational Auto-EncoderCode0
Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation0
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic ForgettingCode0
Fooling Network Interpretation in Image Classification0
Blockchain Enabled Trustless API Marketplace0
Few-shot Object Detection via Feature ReweightingCode1
Teacher-Student Compression with Generative Adversarial NetworksCode0
Auto-tuning TensorFlow Threading Model for CPU Backend0
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning0
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
Ladder Networks for Semi-Supervised Hyperspectral Image Classification0
Prototype-based Neural Network Layers: Incorporating Vector Quantization0
Efficient Attention: Attention with Linear ComplexitiesCode1
Parameter Re-Initialization through Cyclical Batch Size Schedules0
Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross EntropyCode0
Deep Learning for Classical Japanese LiteratureCode0
Protection Against Reconstruction and Its Applications in Private Federated Learning0
Deep Hierarchical Machine: a Flexible Divide-and-Conquer Architecture0
Knowledge Distillation with Feature Maps for Image Classification0
Identification and Recognition of Rice Diseases and Pests Using Convolutional Neural Networks0
Adversarial Domain Randomization0
Universal Perturbation Attack Against Image Retrieval0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified