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SqueezedText: A Real-Time Scene Text Recognition by Binary Convolutional Encoder-Decoder Network
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| B-CEDNet character salience detection + Bi-RNN correction with spatial info instead of CRNN | scene text recognition · IIIT5k no lexicon | accuracy: 78.2 -> 86.6 | Helped |
| B-CEDNet + Bi-RNN instead of CRNN | scene text recognition · SVT lexicon 50 | accuracy: 96.4 -> 96.1 | No clear effect |
| binarize weights and activations (ablation) | SqueezedText · IIIT5k no lexicon | accuracy: 87.0 -> 86.6 | No clear effect |
| binarize weights and activations (ablation) | CEDNet · IC03 character retrieval | precision | Helped |
| XNOR kernel instead of baseline matmul kernel (ablation) | B-CEDNet · TITAN X GPU | inference speedup: 5× | Helped |
| binary encoder-decoder replacing FC layers | scene text recognizer · storage | network size (MB): 25.2 MB -> 4.30 MB | Helped |
Closest papers by meaning
- Char-Net: A Character-Aware Neural Network for Distorted Scene Text Recognition (AAAI 2018 · similarity 0.89)
- Scene Text Recognition from Two-Dimensional Perspective (AAAI 2019 · similarity 0.88)
- Reading Scene Text in Deep Convolutional Sequences (AAAI 2016 · similarity 0.88)
- OTE: Exploring Accurate Scene Text Recognition Using One Token (CVPR 2024 · similarity 0.87)
- Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network (AAAI 2024 · similarity 0.85)
- Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation (CVPR 2025 · similarity 0.84)
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