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Found 7 papers, 5 papers with code
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
However, we find that large-scale bidirectional training between image and text enables zero-shot image captioning.
Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution
Recent transformer-based super-resolution (SR) methods have achieved promising results against conventional CNN-based methods.
L-Verse: Bidirectional Generation Between Image and Text
Unlike other models, BiART can distinguish between image (or text) as a conditional reference and a generation target.
Ranked #1 on
Image Reconstruction
on ImageNet 256x256
Prosodic Clustering for Phoneme-level Prosody Control in End-to-End Speech Synthesis
This paper presents a method for controlling the prosody at the phoneme level in an autoregressive attention-based text-to-speech system.
FrostNet: Towards Quantization-Aware Network Architecture Search
In this paper, we present a new network architecture search (NAS) procedure to find a network that guarantees both full-precision (FLOAT32) and quantized (INT8) performances.
Abstractive Text Classification Using Sequence-to-convolution Neural Networks
Seq2CNN is trained end-to-end to classify various-length texts without preprocessing inputs into fixed length.
Ranked #10 on
Text Classification
on Yahoo! Answers
