https://terms-en.ai-term-hub.com/zh/tags/cv/Recent content in Cv on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/video_super_resolution/Sat, 18 Jul 2026 11:37:39 +0000https://terms-en.ai-term-hub.com/zh/terms/video_super_resolution/<h2 id="definition">Definition</h2> <p>视频超分辨率涉及使用神经网络将视频内容从较低分辨率（例如 480p）上采样到较高分辨率（例如 4K），同时保留细节并减少伪影。与</p> <h3 id="summary">Summary</h3> <p>视频超分辨率（VSR）是一种计算机视觉技术，利用深度学习增强低质量视频帧的空间和时间分辨率。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>帧插值</li> <li>时间一致性</li> <li>上采样</li> <li>深度学习</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>修复老电影</li> <li>提升直播画质</li> <li>改善监控录像质量</li> </ul> <h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/image-super-resolution-%E5%9B%BE%E5%83%8F%E8%B6%85%E5%88%86%E8%BE%A8%E7%8E%87/">Image Super Resolution (图像超分辨率)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/frame-rate-conversion-%E5%B8%A7%E7%8E%87%E8%BD%AC%E6%8D%A2/">Frame Rate Conversion (帧率转换)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/denoising-%E5%8E%BB%E5%99%AA/">Denoising (去噪)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/computer-vision-%E8%AE%A1%E7%AE%97%E6%9C%BA%E8%A7%86%E8%A7%89/">Computer Vision (计算机视觉)</a></li> </ul>https://terms-en.ai-term-hub.com/zh/terms/data_augmentation/Sat, 18 Jul 2026 11:12:24 +0000https://terms-en.ai-term-hub.com/zh/terms/data_augmentation/<h2 id="definition">Definition</h2> <p>这种方法通过创建现有样本的修改版本来人工扩展训练数据集，例如旋转图像、在音频中添加噪声或在文本中进行同义词替换。它有助于防止……</p> <h3 id="summary">Summary</h3> <p>数据增强是一种通过变换现有数据点来增加训练数据集多样性和规模的技术。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>防止过拟合</li> <li>数据集扩展</li> <li>泛化能力</li> <li>变换</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>提高计算机视觉模型的鲁棒性</li> <li>在有限文本下增强自然语言处理模型的性能</li> <li>平衡不平衡的数据集</li> </ul> <h2 id="code-example">Code Example</h2> <div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-python" data-lang="python"><span style="display:flex;"><span><span style="color:#f92672">from</span> tensorflow.keras.preprocessing.image <span style="color:#f92672">import</span> ImageDataGenerator </span></span><span style="display:flex;"><span>gen <span style="color:#f92672">=</span> ImageDataGenerator(rotation_range<span style="color:#f92672">=</span><span style="color:#ae81ff">20</span>) </span></span></code></pre></div><h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/regularization-%E6%AD%A3%E5%88%99%E5%8C%96/">Regularization (正则化)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/synthetic-data-%E5%90%88%E6%88%90%E6%95%B0%E6%8D%AE/">Synthetic Data (合成数据)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/transfer-learning-%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0/">Transfer Learning (迁移学习)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/overfitting-%E8%BF%87%E6%8B%9F%E5%90%88/">Overfitting (过拟合)</a></li> </ul>