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researchmlcomputer-vision
Comparing DNN with Human Representations
Behavioural experiment comparing CNN-based similarity predictions to human similarity judgments. Won Best Research Award at SnT Council, IIT Kanpur.
What it is
Research project asking: when a CNN says two images are similar, does that match what humans say? Designed a behavioural experiment and compared CNN feature similarity to human judgments across animal images.
What I shipped
CNN Feature Extraction
Extracted deep image features using pre-trained network backbones (VGG16, ResNet) to compute similarity matrices.
Behavioural Platform
Designed and shipped a custom web utility in HTML/CSS/JS to collect human similarity judgments on the same image pairs.
Statistical Comparison
Conducted alignment analyses between neural network feature vectors and human similarity judgements.
Key Metrics
- award
- Best Research · SnT
- venue
- BCS · IIT Kanpur
Technology Stack
researchmlcomputer-vision